Hardcover. This book explains the concept of spatial data quality, a key theory for minimizing the risks of data misuse in a specific decision-making context. Drawing together chapters written by authors who are specialists in their particular field, it provides both the data producer and the data user perspectives on how to evaluate the quality of vector or raster data which are both produced and used. It also covers the key concepts in this field, such as: how to describe the quality of vector or raster data; how to enhance this quality; how to evaluate and document it, using methods such as metadata; how to communicate it to users; and how to relate it with the decision-making process. Also included is a Foreword written by Professor Michael F. Goodchild. This book explains the concept of spatial data quality, a key theory for minimizing the risks of data misuse in a specific decision-making context. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Bibliographic Details

Title: Fundamentals of Spatial Data Quality (Hardcover)
Publisher: ISTE Ltd and John Wiley & Sons Inc, London
Publication Date: 2006
Language: English
ISBN 10: 1905209568
ISBN 13: 9781905209569
Binding: Hardcover
Edition: 1st Edition
Condition: new

About this title

Synopsis

This book explains the concept of spatial data quality, a key theory for minimizing the risks of data misuse in a specific decision-making context. Drawing together chapters written by authors who are specialists in their particular field, it provides both the data producer and the data user perspectives on how to evaluate the quality of vector or raster data which are both produced and used. It also covers the key concepts in this field, such as: how to describe the quality of vector or raster data; how to enhance this quality; how to evaluate and document it, using methods such as metadata; how to communicate it to users; and how to relate it with the decision-making process. Also included is a Foreword written by Professor Michael F. Goodchild.

About the Author

Rodolphe Devillers, Geography Department of Memorial University of Newfoundland, Canada

Robert Jeansoulin, Center of Mathematics and Computer Sciences of University of Provence, France

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